Zobrazeno 1 - 10
of 247 626
pro vyhledávání: '"So-Yeon An"'
Autor:
Kim, Minsun, Kim, SeonGyeom, Lee, Suyoun, Yoon, Yoosang, Myung, Junho, Yoo, Haneul, Lim, Hyunseung, Han, Jieun, Kim, Yoonsu, Ahn, So-Yeon, Kim, Juho, Oh, Alice, Hong, Hwajung, Lee, Tak Yeon
This paper presents the development of a dashboard designed specifically for teachers in English as a Foreign Language (EFL) writing education. Leveraging LLMs, the dashboard facilitates the analysis of student interactions with an essay writing syst
Externí odkaz:
http://arxiv.org/abs/2410.15025
Autor:
Li, Wei-Chen, Lin, Chun-Yeon
Common imaging techniques for detecting structural defects typically require sampling at more than twice the spatial frequency to achieve a target resolution. This study introduces a novel framework for imaging structural defects using significantly
Externí odkaz:
http://arxiv.org/abs/2412.01055
Autor:
Kim, Seon Gyeom, Park, Juhyeong, Song, Yutaek, Lee, Donggun, Lee, Yubin, Rossi, Ryan, Hoffswell, Jane, Koh, Eunyee, Lee, Tak Yeon
An increasing number of web articles engage the reader with the feeling of being immersed in the data space. However, the exact characteristics of spatial immersion in the context of visual storytelling remain vague. For example, what are the common
Externí odkaz:
http://arxiv.org/abs/2411.18049
Autor:
Jo, Yong-Yeon, Lee, Byeong Tak, Kim, Beom Joon, Hong, Jeong-Ho, Lee, Hak Seung, Kwon, Joon-myoung
Online Test-Time Adaptation (OTTA) enhances model robustness by updating pre-trained models with unlabeled data during testing. In healthcare, OTTA is vital for real-time tasks like predicting blood pressure from biosignals, which demand continuous a
Externí odkaz:
http://arxiv.org/abs/2411.17785
We propose a generalized Shastry-Sutherland model which bridges the Shastry-Sutherland model and the $J_1$-$J_2$ Heisenberg model. By employing large scale Density Matrix Renormalization Group and Fully Augmented Matrix Product State calculations, co
Externí odkaz:
http://arxiv.org/abs/2411.17452
Multimodal large language models (MLLMs) act as essential interfaces, connecting humans with AI technologies in multimodal applications. However, current MLLMs face challenges in accurately interpreting object orientation in images due to inconsisten
Externí odkaz:
http://arxiv.org/abs/2411.16761
Autor:
Go, Dongyoung, Whang, Taesun, Lee, Chanhee, Kim, Hwa-Yeon, Park, Sunghoon, Ji, Seunghwan, Kim, Jinho, Kim, Dongchan, Kim, Young-Bum
The integration of Retrieval-Augmented Generation (RAG) with Multimodal Large Language Models (MLLMs) has revolutionized information retrieval and expanded the practical applications of AI. However, current systems struggle in accurately interpreting
Externí odkaz:
http://arxiv.org/abs/2411.12287
Autor:
Kwak, Heon-Gyu, Shin, Gi-Hwan, Choi, Yeon-Woo, Lee, Dong-Hoon, Jeon, Yoo-In, Kang, Jun-Su, Lee, Seong-Whan
In this paper, we propose a conceptual framework for personalized brain-computer interface (BCI) applications, which can offer an enhanced user experience by customizing services to individual preferences and needs, based on endogenous electroencepha
Externí odkaz:
http://arxiv.org/abs/2411.11302
Autor:
Cui, Can, Yang, Zichong, Zhou, Yupeng, Peng, Juntong, Park, Sung-Yeon, Zhang, Cong, Ma, Yunsheng, Cao, Xu, Ye, Wenqian, Feng, Yiheng, Panchal, Jitesh, Li, Lingxi, Chen, Yaobin, Wang, Ziran
Personalized driving refers to an autonomous vehicle's ability to adapt its driving behavior or control strategies to match individual users' preferences and driving styles while maintaining safety and comfort standards. However, existing works eithe
Externí odkaz:
http://arxiv.org/abs/2411.11913
Autor:
Zhang, Minghao, Tantratian, Karnpiwat, Ham, So-Yeon, Wang, Zhuo, Chouchane, Mehdi, Shimizu, Ryosuke, Bai, Shuang, Yang, Hedi, Liu, Zhao, Li, Letian, Avishai, Amir, Chen, Lei, Meng, Ying Shirley
Soft metals like lithium and sodium play a critical role in battery technology owing to their high energy density. Texture formation by grain selection growth of soft metals during electrochemical processes is a crucial factor affecting power and saf
Externí odkaz:
http://arxiv.org/abs/2411.10839